Overview

Dataset statistics

Number of variables25
Number of observations893
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory174.5 KiB
Average record size in memory200.1 B

Variable types

Numeric14
Categorical11

Alerts

Income is highly correlated with MntWines and 7 other fieldsHigh correlation
MntWines is highly correlated with Income and 6 other fieldsHigh correlation
MntFruits is highly correlated with Income and 6 other fieldsHigh correlation
MntMeatProducts is highly correlated with Income and 6 other fieldsHigh correlation
MntFishProducts is highly correlated with Income and 5 other fieldsHigh correlation
MntSweetProducts is highly correlated with Income and 5 other fieldsHigh correlation
NumDealsPurchases is highly correlated with NumWebVisitsMonthHigh correlation
NumWebPurchases is highly correlated with MntWinesHigh correlation
NumCatalogPurchases is highly correlated with Income and 6 other fieldsHigh correlation
NumStorePurchases is highly correlated with Income and 5 other fieldsHigh correlation
NumWebVisitsMonth is highly correlated with Income and 1 other fieldsHigh correlation
Income is highly correlated with MntWines and 7 other fieldsHigh correlation
MntWines is highly correlated with Income and 4 other fieldsHigh correlation
MntFruits is highly correlated with Income and 5 other fieldsHigh correlation
MntMeatProducts is highly correlated with Income and 6 other fieldsHigh correlation
MntFishProducts is highly correlated with Income and 4 other fieldsHigh correlation
MntSweetProducts is highly correlated with Income and 4 other fieldsHigh correlation
NumDealsPurchases is highly correlated with NumWebVisitsMonthHigh correlation
NumWebPurchases is highly correlated with MntWinesHigh correlation
NumCatalogPurchases is highly correlated with Income and 5 other fieldsHigh correlation
NumStorePurchases is highly correlated with Income and 3 other fieldsHigh correlation
NumWebVisitsMonth is highly correlated with Income and 1 other fieldsHigh correlation
Income is highly correlated with MntWines and 3 other fieldsHigh correlation
MntWines is highly correlated with Income and 2 other fieldsHigh correlation
MntFruits is highly correlated with MntFishProducts and 1 other fieldsHigh correlation
MntMeatProducts is highly correlated with Income and 3 other fieldsHigh correlation
MntFishProducts is highly correlated with MntFruits and 2 other fieldsHigh correlation
MntSweetProducts is highly correlated with MntFruits and 1 other fieldsHigh correlation
NumCatalogPurchases is highly correlated with Income and 2 other fieldsHigh correlation
NumWebVisitsMonth is highly correlated with IncomeHigh correlation
Education is highly correlated with MntWinesHigh correlation
Income is highly correlated with MntWines and 3 other fieldsHigh correlation
Kidhome is highly correlated with MntWines and 2 other fieldsHigh correlation
MntWines is highly correlated with Education and 9 other fieldsHigh correlation
MntFruits is highly correlated with MntWines and 3 other fieldsHigh correlation
MntMeatProducts is highly correlated with Income and 7 other fieldsHigh correlation
MntFishProducts is highly correlated with MntWines and 3 other fieldsHigh correlation
MntSweetProducts is highly correlated with MntFruits and 2 other fieldsHigh correlation
NumWebPurchases is highly correlated with MntWines and 1 other fieldsHigh correlation
NumCatalogPurchases is highly correlated with Kidhome and 3 other fieldsHigh correlation
NumStorePurchases is highly correlated with Income and 2 other fieldsHigh correlation
NumWebVisitsMonth is highly correlated with Kidhome and 1 other fieldsHigh correlation
AcceptedCmp5 is highly correlated with Income and 1 other fieldsHigh correlation
ID has unique values Unique

Reproduction

Analysis started2021-10-13 07:50:25.304836
Analysis finished2021-10-13 07:51:17.967627
Duration52.66 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

ID
Real number (ℝ≥0)

UNIQUE

Distinct893
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5479.954087
Minimum20
Maximum11191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB

Quantile statistics

Minimum20
5-th percentile532.4
Q12674
median5278
Q38334
95-th percentile10636.4
Maximum11191
Range11171
Interquartile range (IQR)5660

Descriptive statistics

Standard deviation3260.326978
Coefficient of variation (CV)0.5949551631
Kurtosis-1.212080872
Mean5479.954087
Median Absolute Deviation (MAD)2757
Skewness0.08992428408
Sum4893599
Variance10629732
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40951
 
0.1%
108621
 
0.1%
47431
 
0.1%
8371
 
0.1%
47411
 
0.1%
108821
 
0.1%
6401
 
0.1%
26831
 
0.1%
88251
 
0.1%
26771
 
0.1%
Other values (883)883
98.9%
ValueCountFrequency (%)
201
0.1%
221
0.1%
251
0.1%
351
0.1%
491
0.1%
751
0.1%
1151
0.1%
1231
0.1%
1581
0.1%
1751
0.1%
ValueCountFrequency (%)
111911
0.1%
111881
0.1%
111871
0.1%
111761
0.1%
111711
0.1%
111661
0.1%
111331
0.1%
111141
0.1%
111121
0.1%
110961
0.1%

Education
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
1
725 
2
152 
0
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Most occurring characters

ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1725
81.2%
2152
 
17.0%
016
 
1.8%

Marital_Status
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
1
568 
0
325 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Most occurring characters

ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1568
63.6%
0325
36.4%

Income
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct796
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.387041665 × 10-17
Minimum-4.831217117
Maximum4.857000277
Zeros0
Zeros (%)0.0%
Negative441
Negative (%)49.4%
Memory size7.1 KiB

Quantile statistics

Minimum-4.831217117
5-th percentile-1.520764357
Q1-0.6149044053
median0.01480616842
Q30.6419493481
95-th percentile1.540948551
Maximum4.857000277
Range9.688217394
Interquartile range (IQR)1.256853753

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)4.1916335 × 1016
Kurtosis3.163036772
Mean2.387041665 × 10-17
Median Absolute Deviation (MAD)0.6290678792
Skewness-0.5070826182
Sum3.258504577 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.8312171176
 
0.7%
0.26636965733
 
0.3%
-1.7524707633
 
0.3%
1.6765864783
 
0.3%
0.44175638363
 
0.3%
-0.37475689083
 
0.3%
-0.026901376052
 
0.2%
0.76285688532
 
0.2%
1.0267883222
 
0.2%
-0.43689533652
 
0.2%
Other values (786)864
96.8%
ValueCountFrequency (%)
-4.8312171176
0.7%
-2.258129621
 
0.1%
-2.2355625711
 
0.1%
-2.2053931061
 
0.1%
-2.1509125361
 
0.1%
-2.0966563731
 
0.1%
-2.0643088651
 
0.1%
-2.0354847331
 
0.1%
-2.0326233681
 
0.1%
-2.0034530441
 
0.1%
ValueCountFrequency (%)
4.8570002771
0.1%
2.6946066321
0.1%
2.6371418961
0.1%
2.4892973741
0.1%
2.4645279371
0.1%
2.3927270531
0.1%
2.3180403931
0.1%
2.2577258011
0.1%
2.2460833141
0.1%
2.1782018051
0.1%

Kidhome
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
-0.6498501808233609
617 
1.3581643917553978
263 
3.3661789643341566
 
13

Length

Max length19
Median length19
Mean length18.69092945
Min length18

Characters and Unicode

Total characters16691
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-0.6498501808233609
2nd row1.3581643917553978
3rd row-0.6498501808233609
4th row1.3581643917553978
5th row-0.6498501808233609

Common Values

ValueCountFrequency (%)
-0.6498501808233609617
69.1%
1.3581643917553978263
29.5%
3.366178964334156613
 
1.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.6498501808233609617
69.1%
1.3581643917553978263
29.5%
3.366178964334156613
 
1.5%

Most occurring characters

ValueCountFrequency (%)
02468
14.8%
82390
14.3%
32075
12.4%
91773
10.6%
61562
9.4%
11432
8.6%
51419
8.5%
4906
 
5.4%
.893
 
5.4%
2617
 
3.7%
Other values (2)1156
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number15181
91.0%
Other Punctuation893
 
5.4%
Dash Punctuation617
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
02468
16.3%
82390
15.7%
32075
13.7%
91773
11.7%
61562
10.3%
11432
9.4%
51419
9.3%
4906
 
6.0%
2617
 
4.1%
7539
 
3.6%
Other Punctuation
ValueCountFrequency (%)
.893
100.0%
Dash Punctuation
ValueCountFrequency (%)
-617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common16691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
02468
14.8%
82390
14.3%
32075
12.4%
91773
10.6%
61562
9.4%
11432
8.6%
51419
8.5%
4906
 
5.4%
.893
 
5.4%
2617
 
3.7%
Other values (2)1156
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII16691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
02468
14.8%
82390
14.3%
32075
12.4%
91773
10.6%
61562
9.4%
11432
8.6%
51419
8.5%
4906
 
5.4%
.893
 
5.4%
2617
 
3.7%
Other values (2)1156
6.9%

Teenhome
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
-0.9421602490527861
457 
0.9069586573299346
417 
2.7560775637126556
 
19

Length

Max length19
Median length19
Mean length18.51175812
Min length18

Characters and Unicode

Total characters16531
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-0.9421602490527861
2nd row0.9069586573299346
3rd row-0.9421602490527861
4th row-0.9421602490527861
5th row0.9069586573299346

Common Values

ValueCountFrequency (%)
-0.9421602490527861457
51.2%
0.9069586573299346417
46.7%
2.756077563712655619
 
2.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.9421602490527861457
51.2%
0.9069586573299346417
46.7%
2.756077563712655619
 
2.1%

Most occurring characters

ValueCountFrequency (%)
92582
15.6%
62241
13.6%
02224
13.5%
21826
11.0%
51367
8.3%
41331
8.1%
7950
 
5.7%
1933
 
5.6%
.893
 
5.4%
8874
 
5.3%
Other values (2)1310
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number15181
91.8%
Other Punctuation893
 
5.4%
Dash Punctuation457
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
92582
17.0%
62241
14.8%
02224
14.6%
21826
12.0%
51367
9.0%
41331
8.8%
7950
 
6.3%
1933
 
6.1%
8874
 
5.8%
3853
 
5.6%
Other Punctuation
ValueCountFrequency (%)
.893
100.0%
Dash Punctuation
ValueCountFrequency (%)
-457
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common16531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
92582
15.6%
62241
13.6%
02224
13.5%
21826
11.0%
51367
8.3%
41331
8.1%
7950
 
5.7%
1933
 
5.6%
.893
 
5.4%
8874
 
5.3%
Other values (2)1310
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII16531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92582
15.6%
62241
13.6%
02224
13.5%
21826
11.0%
51367
8.3%
41331
8.1%
7950
 
5.7%
1933
 
5.6%
.893
 
5.4%
8874
 
5.3%
Other values (2)1310
7.9%

Recency
Real number (ℝ)

Distinct100
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.843279077 × 10-17
Minimum-1.714570446
Maximum1.653350753
Zeros0
Zeros (%)0.0%
Negative435
Negative (%)48.7%
Memory size7.1 KiB

Quantile statistics

Minimum-1.714570446
5-th percentile-1.578492822
Q1-0.8640852946
median0.02041926276
Q30.870904414
95-th percentile1.517273129
Maximum1.653350753
Range3.367921199
Interquartile range (IQR)1.734989709

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)1.712326877 × 1016
Kurtosis-1.243125655
Mean5.843279077 × 10-17
Median Absolute Deviation (MAD)0.8504851513
Skewness-0.04840191865
Sum3.774758284 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19051629317
 
1.9%
-0.728007670416
 
1.8%
-1.34035697916
 
1.8%
0.802865601916
 
1.8%
0.700807383815
 
1.7%
0.122477480914
 
1.6%
-1.57849282214
 
1.6%
-0.932124106714
 
1.6%
-1.61251222814
 
1.6%
0.598749165614
 
1.6%
Other values (90)743
83.2%
ValueCountFrequency (%)
-1.71457044610
1.1%
-1.680551044
 
0.4%
-1.6465316346
0.7%
-1.61251222814
1.6%
-1.57849282214
1.6%
-1.5444734165
 
0.6%
-1.510454019
1.0%
-1.4764346035
 
0.6%
-1.44241519712
1.3%
-1.40839579112
1.3%
ValueCountFrequency (%)
1.6533507537
0.8%
1.61933134712
1.3%
1.5853119417
0.8%
1.55129253513
1.5%
1.5172731299
1.0%
1.48325372313
1.5%
1.44923431712
1.3%
1.41521491113
1.5%
1.3811955055
 
0.6%
1.34717609911
1.2%

MntWines
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct506
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-2.668248969
Maximum2.536248625
Zeros0
Zeros (%)0.0%
Negative467
Negative (%)52.3%
Memory size7.1 KiB

Quantile statistics

Minimum-2.668248969
5-th percentile-1.915112988
Q1-0.5649589464
median-0.04478837909
Q30.650468614
95-th percentile1.708998918
Maximum2.536248625
Range5.204497593
Interquartile range (IQR)1.21542756

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)nan
Kurtosis0.1200766092
Mean0
Median Absolute Deviation (MAD)0.5815666323
Skewness-0.1085262864
Sum3.197442311 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.97171495216
 
1.8%
-2.6682489698
 
0.9%
-2.42697488
 
0.9%
-2.2644641067
 
0.8%
-0.49593431696
 
0.7%
0.92633720656
 
0.7%
-0.29808198566
 
0.7%
-2.1107163976
 
0.7%
-1.4535715986
 
0.7%
-0.34653311096
 
0.7%
Other values (496)818
91.6%
ValueCountFrequency (%)
-2.6682489698
0.9%
-2.42697488
0.9%
-2.2644641067
0.8%
-2.1107163976
 
0.7%
-1.97171495216
1.8%
-1.8773783464
 
0.4%
-1.8037609454
 
0.4%
-1.7167057443
 
0.3%
-1.652643696
 
0.7%
-1.5972119362
 
0.2%
ValueCountFrequency (%)
2.5362486251
0.1%
2.5181750791
0.1%
2.4543665741
0.1%
2.4414785531
0.1%
2.4046413641
0.1%
2.3171964062
0.2%
2.2996650351
0.1%
2.2610231381
0.1%
2.2542392591
0.1%
2.1968748792
0.2%

MntFruits
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct131
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.365444441 × 10-17
Minimum-1.838389534
Maximum2.534562494
Zeros0
Zeros (%)0.0%
Negative459
Negative (%)51.4%
Memory size7.1 KiB

Quantile statistics

Minimum-1.838389534
5-th percentile-1.533604868
Q1-0.7390318217
median-0.06041678858
Q30.6951524987
95-th percentile1.753001262
Maximum2.534562494
Range4.372952029
Interquartile range (IQR)1.43418432

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-1.571862563 × 1016
Kurtosis-0.545624696
Mean-6.365444441 × 10-17
Median Absolute Deviation (MAD)0.6950625119
Skewness0.2163095182
Sum-5.528910663 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.30746422347
 
5.3%
-1.83838953436
 
4.0%
-1.10342524333
 
3.7%
-1.53360486832
 
3.6%
-0.957932211631
 
3.5%
-0.380582748229
 
3.2%
-0.739031821728
 
3.1%
-0.853684434928
 
3.1%
-0.643964595927
 
3.0%
-0.571753664322
 
2.5%
Other values (121)580
64.9%
ValueCountFrequency (%)
-1.83838953436
4.0%
-1.53360486832
3.6%
-1.30746422347
5.3%
-1.10342524333
3.7%
-0.957932211631
3.5%
-0.853684434928
3.1%
-0.739031821728
3.1%
-0.643964595927
3.0%
-0.571753664322
2.5%
-0.503209839722
2.5%
ValueCountFrequency (%)
2.5345624942
0.2%
2.5011617541
 
0.1%
2.4692239611
 
0.1%
2.4275178821
 
0.1%
2.4174465151
 
0.1%
2.4007825291
 
0.1%
2.3536421792
0.2%
2.3317296973
0.3%
2.290516011
 
0.1%
2.253263391
 
0.1%

MntMeatProducts
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct377
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.365444441 × 10-17
Minimum-3.15004003
Maximum2.53418756
Zeros0
Zeros (%)0.0%
Negative466
Negative (%)52.2%
Memory size7.1 KiB

Quantile statistics

Minimum-3.15004003
5-th percentile-1.642862657
Q1-0.6342201747
median-0.03399160531
Q30.6531304388
95-th percentile1.704629972
Maximum2.53418756
Range5.68422759
Interquartile range (IQR)1.287350614

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)1.571862563 × 1016
Kurtosis0.04564016514
Mean6.365444441 × 10-17
Median Absolute Deviation (MAD)0.64244514
Skewness-0.04089649707
Sum7.061018437 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.15904558511
 
1.2%
-0.44769833039
 
1.0%
-0.71753928259
 
1.0%
-0.55869664518
 
0.9%
-1.3873829928
 
0.9%
-1.9565280378
 
0.9%
-1.8541234628
 
0.9%
-0.92113331697
 
0.8%
-0.00026410892457
 
0.8%
-0.42623319427
 
0.8%
Other values (367)811
90.8%
ValueCountFrequency (%)
-3.150040033
 
0.3%
-2.8798200083
 
0.3%
-2.422606395
0.6%
-2.2350634096
0.7%
-2.0741996523
 
0.3%
-1.9565280378
0.9%
-1.8541234628
0.9%
-1.742233567
0.8%
-1.6428626577
0.8%
-1.5732106495
0.6%
ValueCountFrequency (%)
2.534187562
0.2%
2.5103029792
0.2%
2.487223312
0.2%
2.3962357731
0.1%
2.3341916721
0.1%
2.249990411
0.1%
2.2068972461
0.1%
2.1860149332
0.2%
2.1524752361
0.1%
2.1495011471
0.1%

MntFishProducts
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct138
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.365444441 × 10-17
Minimum-1.902148592
Maximum2.601417007
Zeros0
Zeros (%)0.0%
Negative466
Negative (%)52.2%
Memory size7.1 KiB

Quantile statistics

Minimum-1.902148592
5-th percentile-1.586919091
Q1-0.734367189
median-0.04154169438
Q30.6876466268
95-th percentile1.746557447
Maximum2.601417007
Range4.503565599
Interquartile range (IQR)1.422013816

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-1.571862563 × 1016
Kurtosis-0.5841019838
Mean-6.365444441 × 10-17
Median Absolute Deviation (MAD)0.7291883212
Skewness0.1886241062
Sum-3.097522239 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.34940997444
 
4.9%
-1.58691909138
 
4.3%
-1.03021755330
 
3.4%
-1.16426258229
 
3.2%
-0.918718104627
 
3.0%
-0.570727437627
 
3.0%
-0.820349856426
 
2.9%
-1.90214859225
 
2.8%
-0.496523589424
 
2.7%
-0.429839003621
 
2.4%
Other values (128)602
67.4%
ValueCountFrequency (%)
-1.90214859225
2.8%
-1.58691909138
4.3%
-1.34940997444
4.9%
-1.16426258229
3.2%
-1.03021755330
3.4%
-0.918718104627
3.0%
-0.820349856426
2.9%
-0.73436718921
2.4%
-0.656436280818
2.0%
-0.570727437627
3.0%
ValueCountFrequency (%)
2.6014170073
0.3%
2.5344478262
0.2%
2.472938241
 
0.1%
2.3567028441
 
0.1%
2.2358191811
 
0.1%
2.2226715411
 
0.1%
2.196092871
 
0.1%
2.1875036672
0.2%
2.1585944431
 
0.1%
2.1395067631
 
0.1%

MntSweetProducts
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct134
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.182722221 × 10-17
Minimum-1.857291225
Maximum2.562904303
Zeros0
Zeros (%)0.0%
Negative471
Negative (%)52.7%
Memory size7.1 KiB

Quantile statistics

Minimum-1.857291225
5-th percentile-1.552194991
Q1-0.7115020825
median-0.0577452657
Q30.6929914224
95-th percentile1.782651255
Maximum2.562904303
Range4.420195528
Interquartile range (IQR)1.404493505

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-3.143725125 × 1016
Kurtosis-0.5071732598
Mean-3.182722221 × 10-17
Median Absolute Deviation (MAD)0.7335338635
Skewness0.256578045
Sum-6.217248938 × 10-15
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.32844319138
 
4.3%
-1.55219499136
 
4.0%
-1.16220925632
 
3.6%
-0.438478494730
 
3.4%
-0.914476014929
 
3.2%
-1.85729122529
 
3.2%
-1.0292203727
 
3.0%
-0.711502082526
 
2.9%
-0.808804086824
 
2.7%
-0.307638719824
 
2.7%
Other values (124)598
67.0%
ValueCountFrequency (%)
-1.85729122529
3.2%
-1.55219499136
4.0%
-1.32844319138
4.3%
-1.16220925632
3.6%
-1.0292203727
3.0%
-0.914476014929
3.2%
-0.808804086824
2.7%
-0.711502082526
2.9%
-0.622101842223
2.6%
-0.555914750922
2.5%
ValueCountFrequency (%)
2.5629043032
0.2%
2.4960742171
 
0.1%
2.4779377313
0.3%
2.387852632
0.2%
2.3778539292
0.2%
2.32486552
0.2%
2.2812819351
 
0.1%
2.2584525041
 
0.1%
2.2206349771
 
0.1%
2.2023581871
 
0.1%

MntGoldProds
Real number (ℝ)

Distinct160
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.182722221 × 10-17
Minimum-2.91278596
Maximum2.485579478
Zeros0
Zeros (%)0.0%
Negative442
Negative (%)49.5%
Memory size7.1 KiB

Quantile statistics

Minimum-2.91278596
5-th percentile-1.599166407
Q1-0.7083237543
median0.01965665134
Q30.7180562522
95-th percentile1.671675914
Maximum2.485579478
Range5.398365438
Interquartile range (IQR)1.426380006

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-3.143725125 × 1016
Kurtosis-0.3673666635
Mean-3.182722221 × 10-17
Median Absolute Deviation (MAD)0.7279804056
Skewness-0.002357386863
Sum-2.486899575 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.158694947322
 
2.5%
-1.23833924220
 
2.2%
-1.14115868120
 
2.2%
-0.932689442420
 
2.2%
-1.00087306420
 
2.2%
-0.657837160618
 
2.0%
-0.751831048317
 
1.9%
0.080788080516
 
1.8%
0.440556325915
 
1.7%
-0.0778133214715
 
1.7%
Other values (150)710
79.5%
ValueCountFrequency (%)
-2.912785963
 
0.3%
-2.5389373983
 
0.3%
-2.2780564424
 
0.4%
-2.0470177088
0.9%
-1.8686660619
1.0%
-1.72564272113
1.5%
-1.59916640715
1.7%
-1.50408257312
1.3%
-1.4178418429
1.0%
-1.32639047811
1.2%
ValueCountFrequency (%)
2.4855794781
 
0.1%
2.4406716882
0.2%
2.4106624231
 
0.1%
2.283499633
0.3%
2.2281389041
 
0.1%
2.1949193923
0.3%
2.1542611582
0.2%
2.1156498151
 
0.1%
2.0437139761
 
0.1%
2.0267026852
0.2%

NumDealsPurchases
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.182722221 × 10-17
Minimum-1.047502927
Maximum2.4106161
Zeros0
Zeros (%)0.0%
Negative541
Negative (%)60.6%
Memory size7.1 KiB

Quantile statistics

Minimum-1.047502927
5-th percentile-1.047502927
Q1-1.047502927
median-0.03816070775
Q30.549928991
95-th percentile1.755479725
Maximum2.4106161
Range3.458119027
Interquartile range (IQR)1.597431918

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-3.143725125 × 1016
Kurtosis-0.9925557995
Mean-3.182722221 × 10-17
Median Absolute Deviation (MAD)1.009342219
Skewness0.4273638039
Sum-2.664535259 × 10-15
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1.047502927354
39.6%
-0.03816070775187
20.9%
0.549928991140
 
15.7%
1.05339519199
 
11.1%
1.4549313747
 
5.3%
1.75547972535
 
3.9%
2.08241784124
 
2.7%
2.41061617
 
0.8%
ValueCountFrequency (%)
-1.047502927354
39.6%
-0.03816070775187
20.9%
0.549928991140
 
15.7%
1.05339519199
 
11.1%
1.4549313747
 
5.3%
1.75547972535
 
3.9%
2.08241784124
 
2.7%
2.41061617
 
0.8%
ValueCountFrequency (%)
2.41061617
 
0.8%
2.08241784124
 
2.7%
1.75547972535
 
3.9%
1.4549313747
 
5.3%
1.05339519199
 
11.1%
0.549928991140
 
15.7%
-0.03816070775187
20.9%
-1.047502927354
39.6%

NumWebPurchases
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.978402776 × 10-17
Minimum-2.180728292
Maximum2.102718692
Zeros0
Zeros (%)0.0%
Negative474
Negative (%)53.1%
Memory size7.1 KiB

Quantile statistics

Minimum-2.180728292
5-th percentile-1.29915355
Q1-0.6503881003
median-0.1468009364
Q30.6346749533
95-th percentile1.734272097
Maximum2.102718692
Range4.283446984
Interquartile range (IQR)1.285063054

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)2.5149801 × 1016
Kurtosis-0.4173771729
Mean3.978402776 × 10-17
Median Absolute Deviation (MAD)0.7814758897
Skewness-0.08897836378
Sum4.796163466 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1468009364161
18.0%
-0.6503881003160
17.9%
0.259588526118
13.2%
-1.29915355112
12.5%
0.6346749533110
12.3%
1.01058831577
8.6%
1.36418570856
 
6.3%
-2.18072829241
 
4.6%
1.73427209738
 
4.3%
2.10271869220
 
2.2%
ValueCountFrequency (%)
-2.18072829241
 
4.6%
-1.29915355112
12.5%
-0.6503881003160
17.9%
-0.1468009364161
18.0%
0.259588526118
13.2%
0.6346749533110
12.3%
1.01058831577
8.6%
1.36418570856
 
6.3%
1.73427209738
 
4.3%
2.10271869220
 
2.2%
ValueCountFrequency (%)
2.10271869220
 
2.2%
1.73427209738
 
4.3%
1.36418570856
 
6.3%
1.01058831577
8.6%
0.6346749533110
12.3%
0.259588526118
13.2%
-0.1468009364161
18.0%
-0.6503881003160
17.9%
-1.29915355112
12.5%
-2.18072829241
 
4.6%

NumCatalogPurchases
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.387041665 × 10-17
Minimum-1.060725349
Maximum2.584531214
Zeros0
Zeros (%)0.0%
Negative466
Negative (%)52.2%
Memory size7.1 KiB

Quantile statistics

Minimum-1.060725349
5-th percentile-1.060725349
Q1-1.060725349
median-0.3401764873
Q30.787294209
95-th percentile1.75125421
Maximum2.584531214
Range3.645256564
Interquartile range (IQR)1.848019558

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)4.1916335 × 1016
Kurtosis-0.3451475929
Mean2.387041665 × 10-17
Median Absolute Deviation (MAD)0.7205488618
Skewness0.6862490655
Sum4.884981308 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.060725349297
33.3%
-0.3401764873169
18.9%
0.438819644898
 
11.0%
0.085591675496
 
10.8%
0.78729420967
 
7.5%
1.12574401862
 
6.9%
1.44910186434
 
3.8%
1.7512542126
 
2.9%
2.58453121425
 
2.8%
2.07073340419
 
2.1%
ValueCountFrequency (%)
-1.060725349297
33.3%
-0.3401764873169
18.9%
0.085591675496
 
10.8%
0.438819644898
 
11.0%
0.78729420967
 
7.5%
1.12574401862
 
6.9%
1.44910186434
 
3.8%
1.7512542126
 
2.9%
2.07073340419
 
2.1%
2.58453121425
 
2.8%
ValueCountFrequency (%)
2.58453121425
 
2.8%
2.07073340419
 
2.1%
1.7512542126
 
2.9%
1.44910186434
 
3.8%
1.12574401862
 
6.9%
0.78729420967
 
7.5%
0.438819644898
 
11.0%
0.085591675496
 
10.8%
-0.3401764873169
18.9%
-1.060725349297
33.3%

NumStorePurchases
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.956805552 × 10-18
Minimum-2.296789202
Maximum1.622106201
Zeros0
Zeros (%)0.0%
Negative399
Negative (%)44.7%
Memory size7.1 KiB

Quantile statistics

Minimum-2.296789202
5-th percentile-2.296789202
Q1-0.659066471
median0.08640797775
Q30.7965839115
95-th percentile1.622106201
Maximum1.622106201
Range3.918895403
Interquartile range (IQR)1.455650382

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)1.25749005 × 1017
Kurtosis-0.1403469555
Mean7.956805552 × 10-18
Median Absolute Deviation (MAD)0.7454744487
Skewness-0.4853335874
Sum-3.841371665 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.659066471138
15.5%
-0.2161957206126
14.1%
0.08640797775108
12.1%
0.345538133284
9.4%
-1.34839942778
8.7%
0.584123784377
8.6%
1.02263918767
7.5%
1.62210620165
7.3%
-2.29678920257
6.4%
1.27394110248
 
5.4%
ValueCountFrequency (%)
-2.29678920257
6.4%
-1.34839942778
8.7%
-0.659066471138
15.5%
-0.2161957206126
14.1%
0.08640797775108
12.1%
0.345538133284
9.4%
0.584123784377
8.6%
0.796583911545
 
5.0%
1.02263918767
7.5%
1.27394110248
 
5.4%
ValueCountFrequency (%)
1.62210620165
7.3%
1.27394110248
 
5.4%
1.02263918767
7.5%
0.796583911545
 
5.0%
0.584123784377
8.6%
0.345538133284
9.4%
0.08640797775108
12.1%
-0.2161957206126
14.1%
-0.659066471138
15.5%
-1.34839942778
8.7%

NumWebVisitsMonth
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.774083331 × 10-17
Minimum-1.775149369
Maximum2.269796494
Zeros0
Zeros (%)0.0%
Negative403
Negative (%)45.1%
Memory size7.1 KiB

Quantile statistics

Minimum-1.775149369
5-th percentile-1.775149369
Q1-0.6714944934
median0.002401726277
Q30.8541190886
95-th percentile1.447474888
Maximum2.269796494
Range4.044945862
Interquartile range (IQR)1.525613582

Descriptive statistics

Standard deviation1.000560381
Coefficient of variation (CV)-2.09581675 × 1016
Kurtosis-0.4812331875
Mean-4.774083331 × 10-17
Median Absolute Deviation (MAD)0.6738962197
Skewness0.1661205724
Sum-4.263256415 × 10-14
Variance1.001121076
MonotonicityNot monotonic
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3886381974134
15.0%
-0.6714944934121
13.5%
0.8541190886115
12.9%
0.002401726277114
12.8%
-0.3250626865105
11.8%
-1.106554792103
11.5%
1.44747488895
10.6%
-1.77514936974
8.3%
2.26979649432
 
3.6%
ValueCountFrequency (%)
-1.77514936974
8.3%
-1.106554792103
11.5%
-0.6714944934121
13.5%
-0.3250626865105
11.8%
0.002401726277114
12.8%
0.3886381974134
15.0%
0.8541190886115
12.9%
1.44747488895
10.6%
2.26979649432
 
3.6%
ValueCountFrequency (%)
2.26979649432
 
3.6%
1.44747488895
10.6%
0.8541190886115
12.9%
0.3886381974134
15.0%
0.002401726277114
12.8%
-0.3250626865105
11.8%
-0.6714944934121
13.5%
-1.106554792103
11.5%
-1.77514936974
8.3%

AcceptedCmp3
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
826 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

Most occurring characters

ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0826
92.5%
167
 
7.5%

AcceptedCmp4
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
835 
1
 
58

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

Most occurring characters

ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0835
93.5%
158
 
6.5%

AcceptedCmp5
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
830 
1
 
63

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0830
92.9%
163
 
7.1%

AcceptedCmp1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
846 
1
 
47

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

Most occurring characters

ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0846
94.7%
147
 
5.3%

AcceptedCmp2
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
886 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Complain
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
886 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
99.2%
17
 
0.8%

Response
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
749 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters893
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Most occurring characters

ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number893
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Most occurring scripts

ValueCountFrequency (%)
Common893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0749
83.9%
1144
 
16.1%

Interactions

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

IDEducationMarital_StatusIncomeKidhomeTeenhomeRecencyMntWinesMntFruitsMntMeatProductsMntFishProductsMntSweetProductsMntGoldProdsNumDealsPurchasesNumWebPurchasesNumCatalogPurchasesNumStorePurchasesNumWebVisitsMonthAcceptedCmp3AcceptedCmp4AcceptedCmp5AcceptedCmp1AcceptedCmp2ComplainResponse
05524100.024949-0.649850-0.9421600.2585550.9263371.3817171.5131071.9307971.2880760.9236770.5499291.3641862.584531-0.6590660.8541190000001
1217410-0.4683211.3581640.906959-0.421833-1.597212-1.838390-2.422606-1.902149-1.857291-1.725643-0.038161-2.180728-1.060725-2.2967890.0024020000000
24141110.694109-0.649850-0.942160-0.8300660.3981350.7347900.0261431.251292-0.0196270.158695-1.0475031.364186-0.3401761.022639-0.3250630000000
35324210.0301371.358164-0.9421601.483254-0.2980820.607806-0.0339920.3416030.182281-0.9326891.4549310.2595890.0855920.0864080.0024020000000
496510-0.087234-0.6498500.906959-0.557911-0.0983921.0165520.2339240.4045070.716196-0.3718321.0533951.0105880.0855920.3455380.3886380000000
58180100.0714311.3581640.9069590.088458-0.103749-1.533605-0.608999-1.586919-1.029220-1.0008730.5499290.634675-1.060725-0.2161960.3886380000000
62114201.532591-0.649850-0.942160-0.9321241.8763900.055761-0.0526270.5358911.0173180.242610-1.0475031.0105881.1257441.622106-0.6714940011001
7493911-0.860202-0.649850-0.942160-1.034182-0.611410-0.957932-0.7870501.673224-0.438478-0.328853-0.038161-0.146801-1.0607250.0864080.8541190000000
8227810-1.0491301.358164-0.9421601.211098-2.264464-0.133305-1.2370360.0263320.0840960.053923-0.038161-1.299154-1.060725-1.3483990.3886380000000
9936011-0.890966-0.649850-0.942160-0.319775-0.598098-1.533605-0.3868620.6876470.4706850.316576-1.047503-0.146801-0.340176-0.2161961.4474750000000

Last rows

IDEducationMarital_StatusIncomeKidhomeTeenhomeRecencyMntWinesMntFruitsMntMeatProductsMntFishProductsMntSweetProductsMntGoldProdsNumDealsPurchasesNumWebPurchasesNumCatalogPurchasesNumStorePurchasesNumWebVisitsMonthAcceptedCmp3AcceptedCmp4AcceptedCmp5AcceptedCmp1AcceptedCmp2ComplainResponse
8833661101.283976-0.649850-0.942160-0.2857550.8189660.7871811.7776290.7333960.818550-0.188025-1.047503-0.1468011.1257440.584124-1.1065550000000
884924611-0.7514881.358164-0.9421600.768846-0.310998-1.3074640.041307-0.0792070.0840960.5719481.0533950.634675-1.0607250.0864080.8541190000000
8856261110.017688-0.6498500.9069591.041001-0.0052200.339109-0.261115-0.7343670.692991-0.5646360.549929-0.650388-0.3401761.022639-0.3250630000000
8867366100.938179-0.649850-0.942160-1.3063381.0872460.1937881.4943360.687647-0.3713510.822886-1.047503-0.6503881.1257441.273941-1.7751490110001
8871065911-4.8312171.358164-0.942160-1.476435-2.668249-0.643965-1.742234-1.586919-0.711502-0.6039971.053395-0.650388-0.340176-2.2967890.8541190000000
888700410-2.2053931.358164-0.9421601.075021-1.145354-1.307464-0.997386-1.030218-1.857291-0.5324840.549929-0.650388-1.060725-2.2967892.2697961000000
889981710-0.535876-0.649850-0.9421600.7008071.413846-0.5032100.152450-0.570727-0.555915-0.657837-0.0381611.7342720.4388201.6221061.4474750000000
8909432114.8570001.358164-0.942160-0.932124-1.716706-0.287541-1.287521-0.918718-1.857291-1.1411591.053395-0.650388-1.060725-1.3483990.3886380000000
8918235110.542077-0.6498500.906959-1.4424150.4005800.3204730.4192150.8534330.2746500.557953-0.0381610.6346750.7872941.022639-0.6714940000000
892940521-0.1988991.3581640.906959-0.353794-0.611410-1.307464-0.515689-1.902149-1.857291-0.6039970.549929-0.650388-1.060725-0.6590660.8541190000001